A simple, no-stress guide for getting your nemo agent talking to people You’ve done the heavy lifting, like: Defining how your conversational AI agent should sound . Clarifying what its role is . Training and testing it, and making sure it represents your business well. Now comes the part that can feel intimidating—but really isn’t: putting your nemo agent live on your website. Good news: launching a nemo agent doesn’t require coding expertise, technical gymnastics, or a web

You know the Monday morning routine: checking your weekend form submissions with cautious optimism. But then, you find yourself sorting through dozens of "interested in your services" messages from obviously fake email addresses and nonsensical company names. While you're manually filtering junk leads, real prospects are abandoning your contact forms or waiting days for responses to legitimate questions . The Spam Problem The reality is frustrating. A significant portion of c

Skip the Learning Curve. Start Building Today. You know those repetitive conversations that eat up your team's time? The same pricing questions, implementation details, and feature explanations that pull your best people away from strategic work? What if I told you that you could handle 80% of those conversations automatically, with responses that sound authentically like your company? That's exactly what nemo conversational agents do. And unlike other AI solutions that requi

Is Your Website Working as Hard as You Do? Let's be honest - traditional websites can feel like digital paperweights. Static contact forms sit there collecting dust (and maybe spam). The search box? It's about as helpful as a magic 8-ball. Meanwhile, you're losing potential customers who want answers now, not after filling out a form and waiting 24 hours. watercolor sketches of website user experience Make Your Website Work Smarter (Not Harder) Think of a nemo agent as your w

Creating an agent in nemo involves defining its role and personality, selecting a generative model (LLM), choosing an embedding model, and adjusting its creativity level. These settings are flexible and can be tested and refined with the help of Aura before launching the agent.

Training in nemo consists of uploading clear and relevant information (documents, FAQs, web pages, company profiles) that the agent will use as its knowledge base. The process includes defining what it should know, organizing materials, uploading them to the platform, setting boundaries, and testing responses. Keeping the content updated ensures an accurate and useful agent.

In nemo, your AI agent is not just a bot: it’s a full-fledged member of your team. Its personality and tone shape how it is perceived, whether it builds trust, and how it fits with your brand. The process involves defining its role, communication style, boundaries, and brand guidelines, using templates and iterative adjustments. The goal: to create an agent that is clear, human, and consistent, making your users feel heard and supported.

RAG (Retrieval-Augmented Generation) allows an AI to consult your own documents and data before responding, avoiding errors and “hallucinations.” In Nemo, RAG works only with the information you provide—manuals, knowledge bases, policies—to deliver accurate, secure, and cited answers. With support from the Aura agent, you can choose the best model for your content without technical knowledge, making the most of your internal knowledge efficiently.

If you’re new to nemo, identify who will use your AI agent and what task it will perform; start with a focused one (customer service, sales, marketing, HR, or internal support) to measure results and then scale.

Choosing the ideal language model for an AI agent can be as confusing as facing dozens of options in a supermarket aisle. Aura is the conversational assistant created to simplify that decision, guiding the choice between ChatGPT, Claude, or Perplexity based on needs such as speed, accuracy, cost, and privacy. More than just technology, it focuses on enhancing human capabilities, with Aura and Nemo as allies at every stage of building the agent.

"nemo" is an AI designed to create and optimize agents tailored to each company, working alongside "Aura" to guide the process. It enhances—but does not replace—human judgment; it is trained with internal data, prioritizes security, and helps automate tasks, save time, and accelerate projects.